Triple

T23303944
Position Surface form Disambiguated ID Type / Status
Subject EP2 E590380 entity
Predicate track P17929 FINISHED
Object Water Me
"Water Me" is a minimalist, emotionally charged R&B and electronic track by FKA twigs that showcases her ethereal vocals and experimental production style.
 E1580872 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Water Me | Statement: [EP2, track, Water Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Water Me
Context triple: [EP2, track, Water Me]
  • A. Pour Me Water
    "Pour Me Water" is a popular Afrobeats song by Nigerian singer Mr Eazi, known for its smooth, mid-tempo groove and romantic lyrics.
  • B. Drink the Water
    "Drink the Water" is a song by singer-songwriter Jack Johnson from his debut album *Brushfire Fairytales*.
  • C. Bring Me Some Water
    "Bring Me Some Water" is a 1988 blues-rock song by American singer-songwriter Melissa Etheridge that became one of her signature hits.
  • D. Sweet Water
    Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
  • E. Little Bit of Water
    "Little Bit of Water" is a song featured on Philip Lynott's solo release *The Philip Lynott Album*.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Water Me
Triple: [EP2, track, Water Me]
Generated description
"Water Me" is a minimalist, emotionally charged R&B and electronic track by FKA twigs that showcases her ethereal vocals and experimental production style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Water Me
Target entity description: "Water Me" is a minimalist, emotionally charged R&B and electronic track by FKA twigs that showcases her ethereal vocals and experimental production style.
  • A. Pour Me Water
    "Pour Me Water" is a popular Afrobeats song by Nigerian singer Mr Eazi, known for its smooth, mid-tempo groove and romantic lyrics.
  • B. Drink the Water
    "Drink the Water" is a song by singer-songwriter Jack Johnson from his debut album *Brushfire Fairytales*.
  • C. Bring Me Some Water
    "Bring Me Some Water" is a 1988 blues-rock song by American singer-songwriter Melissa Etheridge that became one of her signature hits.
  • D. Sweet Water
    Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
  • E. Little Bit of Water
    "Little Bit of Water" is a song featured on Philip Lynott's solo release *The Philip Lynott Album*.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19724de488190ac8eb89253c8dd53 completed April 29, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c9934ec819094ebbe6e61d18ab7 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4f37e390819083df9a959acf3a32 completed May 19, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4fdafde88190a7ac791189acde68 completed May 19, 2026, 11:56 a.m.
Created at: April 17, 2026, 5:04 p.m.